implement-improvements

implement-improvements is a skill for Claude Code, Codex from tobihagemann/turbo. It costs 79 tokens per session (2,099 once invoked), scanned A, original, MIT.

A workflow for reviewing and processing improvement entries stored in `.turbo/improvements.md`. It handles one type of work per session: direct fixes, investigation, or planning.

In plain words
What is it for?
Use it to read, classify, select, and process improvement entries, then remove completed items from the backlog.
Why use it?
It keeps a backlog of proposed changes organized and prevents unrelated fixes, research, and planning from being mixed together.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit Use it to read, classify, select, and process improvement entries, then remove completed items from the backlog.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tobihagemann/turbo/implement-improvements
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add tobihagemann/turbo --skill implement-improvements
Clone the repo
git clone --depth 1 https://github.com/tobihagemann/turbo

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for implement-improvements

README.md
[![agentmods](https://agentmods.dev/badge/skills/tobihagemann/turbo/implement-improvements/github.svg)](https://agentmods.dev/skills/tobihagemann/turbo/implement-improvements)
Your own site
<a href="https://agentmods.dev/skills/tobihagemann/turbo/implement-improvements"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/implement-improvements/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for implement-improvements

Your own site · 80×15
<a href="https://agentmods.dev/skills/tobihagemann/turbo/implement-improvements"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/implement-improvements.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,099 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 12
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Excessive Agency · line 65
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.02099
Opus 5 $0.00039 $0.01050
Sonnet 5 $0.00016 $0.00420
Haiku 4.5 $0.00008 $0.00210

Measured 5d ago against content hash dcdccdade03b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

implement-improvements scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

claude/skills/implement-improvements/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement Improvements

Validate improvements from .turbo/improvements.md, propose a specific working set based on the backlog's actual contents, and run one lane per session: direct, investigate, or plan. Mixing lanes in a single run tangles commits, so the skill processes exactly one lane each time. Entries outside the confirmed working set stay in the backlog for future runs.

Task Tracking

At the start, use TaskCreate to create a task for each step:

  1. Read the backlog
  2. Validate and classify
  3. Recommend, confirm, and prune stale
  4. Run the chosen lane
  5. Prune working-set entries from the backlog

Step 1: Read the Backlog

Read .turbo/improvements.md. If the file does not exist, there are no improvements to implement; stop.

Parse all entries, extracting for each:

  • Summary (the ### heading)
  • Type (direct, investigate, or plan; may be missing in older entries — trivial and standard are accepted as legacy aliases for direct and plan)
  • Category
  • Where (file paths or areas)
  • Why (rationale)
  • Ceiling and Revisit (present when the entry records a deliberate simplification)
  • Noted (date)

Step 2: Validate and Classify

Improvements can go stale: files get renamed, code gets refactored, issues get fixed as side effects of other work. Before routing, validate each improvement and classify any entry missing a Type.

Validate

For each entry, verify whether the specific problem or opportunity described still exists. Do not rely on git log alone. Recent commits touching the same files do not mean the specific issue was addressed. Read the actual code and confirm:

  1. Files exist — Do the referenced files/paths still exist? If not, the entry is stale.
  2. Problem persists — Read the relevant code sections. Is the exact issue or opportunity described in the entry still present? Check the specific claims: if the entry says a function is uncalled, verify it has no callers; if it says error handling is missing, check whether it was added.
  3. Revisit condition met — For an entry carrying a Revisit field, check whether the recorded condition now holds. The shipped simplification is present by construction, so its presence alone says nothing about whether the fuller version is worth building yet.
  4. Stated scope matches the real gap — For an entry claiming missing coverage, read what existing tests already pin before accepting its scope: a test that substitutes a test double at a boundary pins the behavior on one side of it and leaves the boundary itself unpinned, so a request to cover several variants often reduces to the single boundary they share. Restate such an entry at its real scope, classify it Active, and use the restatement as its summary in Step 3.
  5. Claimed consequence holds — For an entry claiming that two paths behave differently, or that a change would alter observable behavior, verify the claimed difference itself by reading what each path actually returns, exercising both when reading cannot settle it, rather than confirming only that the code it points at exists. When the named code is present but its stated consequence is false, restate the entry at the benefit it actually delivers, classify it Active, and use the restatement as its summary in Step 3; classify it Stale when no benefit survives.

Read the full file on GitHub · 147 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago Changed · +1 lines dcdccdade03b
  2. 9d ago First seen · 146 lines · 79 tokens per session scan A 4aa62d5b809b

Subscribe to this mod's changes

implement-improvements is a skill published in the GitHub repository tobihagemann/turbo (402 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 2,099 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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